Homer doesn’t presently process data with different channels acquired at different times.
The best approach would be to fabricate your snirf file to create a data time series as if all channels were collected at the same time.
Then process that data to get the measurements of the changes and then run it through to the atlasViewer image reconstruction.
Of course, atlasviewer will then analyze it as if the data was acquired on a head model, not a flat phantom. But that is a good start for you anyways.
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Homer doesn’t presently process data with different channels acquired at different times.
The best approach would be to fabricate your snirf file to create a data time series as if all channels were collected at the same time.
Then process that data to get the measurements of the changes and then run it through to the atlasViewer image reconstruction.
Of course, atlasviewer will then analyze it as if the data was acquired on a head model, not a flat phantom. But that is a good start for you anyways.
From: <homer...@googlegroups.com> on behalf of Dharminder Singh Tejinder Singh Langri <langridhar...@gmail.com>
Reply-To: "homer...@googlegroups.com" <homer...@googlegroups.com>
Date: Tuesday, September 8, 2020 at 11:00 AM
To: Homer-fNIRS and AtlasViewer Community <homer...@googlegroups.com>
Subject: Custom device data processing
I am interested in seeing a 2D image reconstruction of a phantom data that was taken at different timepoints for different channels. How can I do that with Homer ?
It is not a human skull phantom, it's just a rectangular phantom, so do I still need to use AtlasViewer ?
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I am not sure if that tutorial exists at the moment.
We certainly go through it in our Homer class and you can view the lecture and exercises through openfnirs.org with a premium homer subscription.
Please see access details at https://openfnirs.org/software/homer/
If you are a Homer Premium member then you can access the associated lecture and exercise at
Thanks for supporting Homer!
David
To view this discussion on the web visit
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